Changes in cranberry phenology from 1958 to 2022: Implications for spring frost protection in Massachusetts, United States.

IF 3 3区 地球科学 Q2 BIOPHYSICS
Sandeep Bhatti, Peter Jeranyama, Casey D Kennedy, Anthony R Buda, Katherine Ghantous, David J Millar, Carolyn J DeMoranville
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Abstract

Warmer temperatures associated with climate change have affected the phenology of most plants, but limited information exists for the American cranberry (Vaccinium macrocarpon Ait.), an important specialty crop. We examined long-term spatiotemporal trends in spring development of cranberry buds using field observations of cranberry bud stages over a 65-yr period, spanning from 1958-2022. A growing degree day (GDD) model was further used to interpret the observed trends in bud development over the study period. To assess spatial variability in cranberry bud development, the GDDs were computed using gridded weather data for four counties of Massachusetts, representing 85% of the state's cranberry acreage. A Theil-Sen linear regression model was implemented to determine trends in the occurrence of the bud stages. Field observations revealed significant temporal trends (p-value < 0.01) in the annual timing of white bud and cabbage head stages, occurring 18-20 days earlier in the spring than 65 years ago. This earlier bud development can increase the risk of frost damage, especially during late-spring freezes. GDDs accumulated at a faster rate towards the end of the study period due to rising air temperatures. Analysis of 65 years of gridded data revealed a significant trend of earlier development across the four counties. The rate of advancement in cabbage head stage ranged from -0.15 to -0.25 d yr -1 across the study area. These findings highlight the need for updated frost forecasting models that account for the changing growth schedule of cranberry.

1958 - 2022年蔓越莓物候变化:对美国马萨诸塞州春季霜冻保护的启示
与气候变化相关的温度升高影响了大多数植物的物候,但对美国蔓越莓(Vaccinium macrocarpon Ait.)这一重要的特色作物的信息有限。利用1958-2022年65年的蔓越莓芽期野外观测,研究了蔓越莓芽期春季发育的长期时空趋势。利用生长度日(GDD)模型进一步解释了在研究期间观察到的芽发育趋势。为了评估蔓越莓芽发育的空间变化率,使用马萨诸塞州四个县的网格天气数据计算了gds,这些县代表了该州85%的蔓越莓种植面积。采用Theil-Sen线性回归模型确定芽期发生的趋势。野外观测结果显示,整个研究区域的时间趋势显著(p值为-1)。这些发现强调了更新霜冻预测模型的必要性,以解释蔓越莓生长时间表的变化。
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来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
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